Deep Green Diagnostics

The following dataset was created to cover the necessity of getting images of urban areas to estimate the health vegetation using a drone to 30 hight meters. The images were taken with a drone Phantom 4 of the DJI family and cut them to get a size of 200x200px.

Into the pictures, there are different types of vegetation such as grass, trees of different size, and shrubs. Also, streets, buildings, cars, people and other types of objects commonly present in these areas.

Contamination is an agent that is almost always found in all of the cities, so we consider as contamination as all the garbage that could be found in an urban environment, such as waste of food, empty containers of sweets or chips, plastic bottles, and other things.

本数据集旨在满足获取城市地区图像以利用无人机从30米高空估算植被健康状况的需求。图像由DJI家族的Phantom 4无人机拍摄，并裁剪至200x200像素大小。图像中包含不同类型的植被，如草地、不同尺寸的树木和灌木。此外，还包括街道、建筑物、汽车、人群以及其他常见于这些区域的各种物体。污染是几乎所有城市中都几乎无处不在的一种因素，因此我们将污染定义为所有可能在城市环境中发现的垃圾，例如食物废物、糖果或薯片空包装、塑料瓶等。